Reference Articles
The Reference
42 factual articles on AI in training, adaptive learning, and MentivisOS products.
AI and training: what finance leaders need to understand
Finance leaders treat training as a cost to be contained. AI in training changes this frame: it makes measurable an investment that was not. An AI system produces data that allow t...
AI and Learning
How to build a business case for an AI training system
A business case for an AI training system rests on four elements in a precise order: quantify the true cost of the current problem (production, delivery, employee time, non-complia...
AI and Learning
Measuring skills acquisition: beyond completion rate
Completion rate is the most used training metric and one of the least informative. It measures that someone finished a learning path, not that the target skill was acquired. Studie...
AI and Learning
What real skills measurement is and why it changes everything for HR management
Real skills measurement means verifying what an employee is actually able to do, skill by skill, not recording their attendance at a training session or their completion of a modul...
AI and Learning
Why corporate training is no longer enough without AI
Corporate training as it is mostly practised solves an access and distribution problem, not a real acquisition problem. E-learning completion rates stagnate between 10% and 25% out...
AI and Learning
Which AI skills should you prioritise by role and sector?
The AI skills to develop as a priority depend on role, not sector. Three levels structure a relevant AI training plan: basic AI literacy (understanding what a language model is, wh...
AI and Learning
Skills obsolescence: how to know if your team is at risk
The average shelf life of a technical skill has fallen from 30 years in the 1980s to less than 5 years today, according to World Economic Forum data. For digital and AI-related ski...
AI and Learning
Training for AI vs hiring AI talent: cost-benefit analysis for HR Directors
The decision to train internally or to hire AI talent depends on the nature of the skills sought, the time available and the budget. For usage skills (using AI in a business contex...
AI and Learning
How to measure the return on investment of a corporate training plan
The return on investment of training is measured using three main approaches. The Kirkpatrick model evaluates four levels: satisfaction, learning, behaviour and results. The Philli...
AI and Learning
The real cost of an untrained employee: what organisations fail to measure
The cost of an untrained employee is not limited to visible errors. It includes chronic under-productivity (estimated at 10% to 20% of time according to engagement studies), the co...
AI and Learning
Training ROI by sector: what the available data can tell us
Training ROI varies significantly by sector, mainly due to two factors: the weight of mandatory regulatory training (whose ROI is measured in avoided penalties rather than producti...
AI and Learning
The scarcest skills in France in 2026 and how to develop them internally
In 2026, the skills in shortest supply on the French labour market cluster around five areas: AI and data skills (developing, deploying and supervising AI systems), cyber security,...
AI and Learning
RGPD and corporate training: what HR Directors need to know about learner data
Online training platforms (LMS) collect personal data on learners: identity, progress in modules, assessment results, time spent on each piece of content, connection data. These da...
AI and Learning
Training your managers to manage in an AI-augmented workplace: where to start?
The deployment of AI in organisations creates a blind spot in most training plans: employees are trained to use AI tools, but managers are not trained to manage teams that use AI. ...
AI and Learning